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A disease evolution model with uncertain parameters
(2001-12-01)
In this study we consider the SIS epidemiological model (susceptible-infected-susceptible) in which the transmission and recuperation rates are considered fuzzy sets. The concepts of possibility measures and fuzzy expectancy ...
A disease evolution model with uncertain parameters
(2001-12-01)
In this study we consider the SIS epidemiological model (susceptible-infected-susceptible) in which the transmission and recuperation rates are considered fuzzy sets. The concepts of possibility measures and fuzzy expectancy ...
A three-dimensional multi-agent-based model for the evolution of Chagas’ disease
(2010)
A better understanding of Chagas’ disease is important because the knowledge about the progression and the participation of the different types of cells in this disease are still lacking. To clarify this system, the kinetics ...
Influence of Vectors' Risk-Spreading Strategies and Environmental Stochasticity on the Epidemiology and Evolution of Vector-Borne Diseases: The Example of Chagas' Disease
(Public Library of Science, 2013-08)
Insects are known to display strategies that spread the risk of encountering unfavorable conditions, thereby decreasing the extinction probability of genetic lineages in unpredictable environments. To what extent these ...
The first 100 days: modeling the evolution of the COVID-19 pandemic
A simple analytical model for modeling the evolution of the 2020 COVID-19
pandemic is presented. The model is based on the numerical solution of the
widely used Susceptible-Infectious-Removed (SIR) populations model for ...
Forecasting the 2020 COVID-19 Epidemic: A Multivariate Quasi-Poisson Regression to Model the Evolution of New Cases in Chile
(2021)
Objectives: To understand and forecast the evolution of COVID-19 (Coronavirus disease 2019) in Chile, and analyze alternative simulated scenarios to better predict alternative paths, in order to implement policy solutions ...
Mathematical modelling of vector-borne diseases and insecticide resistance evolution
(2017-07-06)
Background: Vector-borne diseases are important public health issues and, consequently, in silico models that simulate them can be useful. The susceptible-infected-recovered (SIR) model simulates the population dynamics ...